Fibronectin triggers secretion of extracellular vesicles carrying collagen VI that regulate smooth muscle cell adhesion and migration during vascular repair and atherogenesis.

ABSTRACT: Variational methods are highly valuable computational tools for solving high-dimensional quantum systems. In this paper, we explore the effectiveness of three variational methods: density ...

Abstract: This letter considers the problem of estimating all the eigenvalues and eigenvectors of an irreducible matrix, corresponding to a strongly connected digraph, in the absence of knowledge on ...

Anthony’s passion for cars grew out of a mixture of intrigue and boredom while surfing the web looking for his first car during class in high school. Hours searching through Craigslist and Facebook ...

Principal component analysis (PCA) is a classical machine learning technique. The goal of PCA is to transform a dataset into one with fewer columns. This is called dimensionality reduction. The ...

Transforming a dataset into one with fewer columns is more complicated than it might seem, explains Dr. James McCaffrey of Microsoft Research in this full-code, step-by-step machine learning tutorial.

IRBLEIGS will find a few eigenvalues and eigenvectors for either the standard eigenvalue problem Ax = lambdax or the generalized eigenvalue problem Ax = lambdaM*x, where A is a sparse Hermitian matrix ...